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Applied Soft Computing Journal, ISSN 1568-4946, 01/2018, Volume 62, pp. 203 - 215
Journal Article
Mechanical Systems and Signal Processing, ISSN 0888-3270, 09/2018, Volume 110, pp. 412 - 427
•SVM and other methods are combined to build prediction model of dam deformation.•Three key problems on SVM are investigated.•The proposed approach can reduce... 
Dam deformation | Improved particle swarm optimization algorithm | Characteristics identification | Prediction model | Wavelet support vector machine | EMBEDDING DIMENSION | ENGINEERING, MECHANICAL | IDENTIFICATION MODEL
Journal Article
Applied Ocean Research, ISSN 0141-1187, 2009, Volume 31, Issue 2, pp. 111 - 131
A new criterion is proposed for a more efficient assessment of free-surface particles in a particle-based simulation. Enhanced wave impact simulations are... 
Wave impact pressure | SPH method | Particle method | Improved incompressible SPH methods | WALLS | BREAKING WAVES | VOLUME | SMOOTHED PARTICLE HYDRODYNAMICS | ENGINEERING, OCEAN | FLUID | OCEANOGRAPHY | WATER-SURFACE TRACKING | FLOWS | NUMERICAL-SIMULATION | BREAKWATER
Journal Article
Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering, ISSN 1007-2276, 11/2015, Volume 44, Issue 11, pp. 3475 - 3482
Journal Article
Journal of Advances in Modeling Earth Systems, ISSN 1942-2466, 01/2018, Volume 10, Issue 1, pp. 187 - 206
Journal Article
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, ISSN 0954-4054, 11/2010, Volume 224, Issue 11, pp. 1645 - 1653
Abstract This paper presents an approach to the determination of the optimal cutting parameters to create minimum surface roughness levels in the face milling... 
artificial neural network | particle swarm optimization | surface roughness | cutting parameters | face milling | DESIGN | NEURAL-NETWORK | IMPROVED PSO | MODEL | ENGINEERING, MANUFACTURING | ENGINEERING, MECHANICAL | Optimization algorithms | Surface roughness | Machine tools | Neural networks
Journal Article
by Qao, CZ and Zhao, SL and Liu, HL and Dong, W
JOURNAL OF PHYSICAL CHEMISTRY B, ISSN 1520-6106, 02/2020, Volume 124, Issue 7, pp. 1207 - 1217
The original motivation for scaled particle theory (SPT) is to derive a simple equation of state for a bulk hard sphere (HS) fluid. It is now widely recognized... 
FLUIDS | EQUATION-OF-STATE | THERMODYNAMICS | IMPROVED PREDICTIONS | ADDITIVE HARD SPHERES | CHEMISTRY, PHYSICAL | PROOF
Journal Article
Wind Engineering, ISSN 0309-524X, 6/2018, Volume 42, Issue 3, pp. 252 - 264
The prediction accuracy of wind power affects the operation cost of the power grid, which is a direct result of the supply and demand balance of the grid.... 
Hybrid kernel function | Improved particle swarm optimization algorithm | Support vector machine | Wind power | Prediction
Journal Article
Architectural Engineering and Design Management, ISSN 1745-2007, 05/2019, Volume 15, Issue 3, pp. 196 - 212
Journal Article
Powder Technology, ISSN 0032-5910, 02/2016, Volume 289, pp. 95 - 103
In this paper, the minimum fluidization velocity and bed expansion of polydisperse sand mixtures fluidized with water were investigated. The fluidization... 
Quartz filtration sand | Bed expansion | Liquid fluidization | Expansion index | Minimum fluidization velocity | VOIDAGE | VELOCITY | PARTICULATE EXPANSION | PARTICLES | LIQUID | SEDIMENTATION | IMPROVED EQUATION | FLOW | ENGINEERING, CHEMICAL | FILTER EXPANSION | MEDIA
Journal Article
Advanced Materials Research, ISSN 1022-6680, 10/2014, Volume 1051, pp. 1028 - 1031
Gas emission quantity may forecast the quantity of gas inside the coal, which has important significance for predicting the outburst of gas, but the problem... 
Improved particle swarm optimize | Least square support vector machine | Continuous forecasting | Gas emission quantity
Journal Article
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, ISSN 1556-7036, 01/2019, Volume 41, Issue 1, pp. 26 - 46
Journal Article
2019, ISBN 3038975486
This book is a printed edition of the Special Issue Flood Forecasting Using Machine Learning Methods that was published in Water 
artificial neural network | flood routing | the Three Gorges Dam | backtracking search optimization algorithm (BSA) | lag analysis | artificial intelligence | classification and regression trees (CART) | decision tree | real-time | optimization | ensemble empirical mode decomposition (EEMD) | improved bat algorithm | convolutional neural networks | ANFIS | method of tracking energy differences (MTED) | adaptive neuro-fuzzy inference system (ANFIS) | recurrent nonlinear autoregressive with exogenous inputs (RNARX) | disasters | runoff | natural hazards | flood prediction | ANN-based models | flood inundation map | ensemble machine learning | flood forecast | sensitivity | hydrologic models | phase space reconstruction | water level forecast | data forward prediction | early flood warning systems | bees algorithm | random forest | uncertainty | soft computing | data science | hydrometeorology | LSTM | rating curve method | forecasting | superpixel | particle swarm optimization | high-resolution remote-sensing images | machine learning | support vector machine | Lower Yellow River | extreme event management | runoff series | empirical wavelet transform | Muskingum model | hydrograph predictions | bat algorithm | data scarce basins | Wilson flood | self-organizing map | big data | extreme learning machine (ELM) | hydroinformatics | nonlinear Muskingum model | invasive weed optimization | flood forecasting | artificial neural networks | flash-flood | hybrid | streamflow predictions | precipitation-runoff | the upper Yangtze River | survey | parameters | Haraz watershed | ANN | time series prediction | postprocessing | flood susceptibility modeling | rainfall-runoff | Venant equations | deep learning | database | LSTM network | ensemble technique | hybrid neural network | self-organizing map (SOM) | data assimilation | particle filter algorithm | rainfall | monthly streamflow forecasting | Dongting Lake | machine learning methods | micro-model | stopping criteria | Google Maps | cultural algorithm | wolf pack algorithm | flood events | urban water bodies | Karahan flood | hydrologic model
eBook